A Bayesian method for detecting pairwise associations in compositional data

Abstract

Compositional data consist of vectors of proportions normalized to a constant sum from a basis of unobserved counts. The sum constraint makes inference on correlations between unconstrained features challenging due to the information loss from normalization. However, such correlations are of long-standing interest in fields including ecology. We propose a… (More)
DOI: 10.1371/journal.pcbi.1005852

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